Coverage-aware connectivity restoration in mobile sensor networks

Tamboli, N.; Younis, Mohamed

doi:10.1016/j.jnca.2010.03.008

Cited by 87 publications

(37 citation statements)

References 21 publications

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“…Another coverage-aware connectivity restoration technique, C 3 R (Coverage Conscious Connectivity Restoration) proposed in [3], guarantees the connectivity restoration by temporarily repositioning the neighboring nodes to the failed node's position, one at a time. C 3 R makes schedule for neighboring nodes in order to participate in the recovery process.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, replacing the failed nodes with the new nodes is often not possible. The second solution that is proposed in the literature [2][3][4][5] is that the sensor nodes relocate themselves in order to restore connectivity. We also consider the second solution and propose a new algorithm that is capable of restoring the network connectivity by relocation of nodes.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent On‐Demand Connectivity Restoration for Wireless Sensor Networks

Mahmood

Khan

Hassan

et al. 2018

Wireless Communications and Mobile Computing

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Wireless sensor networks are envisioned to play a very important role in the Internet of Things in near future and therefore the challenges associated with wireless sensor networks have attracted researchers from all around the globe. A common issue which is well studied is how to restore network connectivity in case of failure of single or multiple nodes. Energy being a scarce resource in sensor networks drives all the proposed solutions to connectivity restoration to be energy efficient. In this paper we introduce an intelligent on-demand connectivity restoration technique for wireless sensor networks to address the connectivity restoration problem, where nodes utilize their transmission range to ensure the connectivity and the replacement of failed nodes with their redundant nodes. The proposed technique helps us to keep track of system topology and can respond to node failures effectively. Thus our system can better handle the issue of node failure by introducing less overhead on sensor node, more efficient energy utilization, better coverage, and connectivity without moving the sensor nodes.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent On‐Demand Connectivity Restoration for Wireless Sensor Networks

Mahmood

Khan

Hassan

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Liao and Wang [22] propose an asynchronous MAC protocol (AMAC) and expect to improve the problem of energy wasting and time synchronization due to sleeping schedule exchanged under the PMAC basic protocol. While the authors of the second class work on the connectivity maintenance in case of failure of a sensor node [11,12,13], and try to solve the problem of connectivity in the case of the network partitioning and/or the covering of the monitoring zone problem. We classify our work in the second class (Curative maintenance).…”

Section: Related Workmentioning

confidence: 99%

“…In the paper of N. Tamboli et al [12], the replacement of the failed node is done only by its direct neighbors. The exhaustion of energy due to the repeated physical movements of these nodes is an obvious concern to be taken into account.…”

Section: Related Workmentioning

confidence: 99%

“…In [10], the authors choose the prolongation of the operating time system while keeping only a necessary set of sensors in an active mode and putting the remained sensors in sleep mode. Another category of approaches for the connectivity maintenance in wireless sensor networks is the restoration of the connectivity after a sensor node failure [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

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Detection and replacement of a failing node in the wireless sensors networks

Boudries

Aliouat

Siarry

2014

Computers & Electrical Engineering

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International audienceThe lifetime in a wireless network, in particular a wireless sensor network, depends strongly on the connectivity factor between nodes. Several factors can be at the origin of a connectivity rupture such as: lack of energy on a significant node level, infection of a vital node by a malevolent code, a logical or physical failure of a primary node, etc. This rupture can lead in some cases to a reconfiguration of the network by generating a prejudicial overhead or in other cases to a failure of the mission assigned to the network. In this paper, we propose a DRFN approach (Detection and Replacement of a Failing Node) for the connectivity maintenance by carrying out a replacement chain according to a distributed algorithm. Through simulation, we have shown our approach efficiency. Compared with similar work, our proposed approach consumes less energy, and improves the percentage of reduction in field coverage

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Network Partitioning Problem and UAVs' Integration for Efficient Connectivity Restoration: A Systematic Review

Zear,

Ranga,

Bhushan

2024

Int J Communication

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Wireless sensor and actor networks (WSANs) are gaining substantial recognition because of their utility in inhospitable environments where humans have restricted accessibility. The extensive applications of WSANs in different domains require effectiveness, reliability, and some degree of robustness. These networks may experience frequent node failures due to their deployment in rough environments, such as energy depletion and onboard electronics failure of network nodes. These failures result in areas with no coverage, which may further deteriorate the standard of data accumulated. However, the network partitioning into disjoint fragments is the most severe repercussion that arises due to these failures. The network partitioning results in various negative impacts like obstruction in data exchange and restricted coordination among the nodes. Therefore, detecting partitioning in the network and restoring connectivity are important. This paper reviews the reported network partition detection and recovery techniques. The limitations of these recovery techniques are highlighted, along with the advantages of incorporating unmanned aerial vehicles (UAVs) in various ground wireless networks. UAVs are evolving to become a critical element of future wireless network technologies. This paper incorporates the analysis of UAV‐assisted networks consisting of technical issues, challenges, and requirements related to the UAVs' employment in wireless networks. Thereafter, the reported UAV‐assisted partition recovery techniques are discussed along with the application scenarios for incorporating UAVs in network partitioning detection and recovery problem. The paper also highlights the challenges for associating UAVs in the network recovery process.

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Coverage-aware connectivity restoration in mobile sensor networks

Cited by 87 publications

References 21 publications

Intelligent On‐Demand Connectivity Restoration for Wireless Sensor Networks

Intelligent On‐Demand Connectivity Restoration for Wireless Sensor Networks

Detection and replacement of a failing node in the wireless sensors networks

Network Partitioning Problem and UAVs' Integration for Efficient Connectivity Restoration: A Systematic Review

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